Methods and devices for performing three-dimensional blood vessel reconstruction using angiographic images

ABSTRACT

The disclosure provides a method and device for performing three-dimensional blood vessel reconstruction using angiographic images. The method includes an acquisition step that acquires a first two-dimensional image of the blood vessel in the first projection direction and a corresponding reconstructed three-dimensional model of the blood vessel. The method further includes a simulated light path length determining step that determines simulated optical path length within the blood vessel at a position thereof in the first projection direction based on the three-dimensional model of the blood vessel, and a three-dimensional reconstruction adjustment step that adjusts reconstruction parameters of the three-dimensional model of the blood vessel, based on the simulated optical path length within the blood vessel at the position in the first projection direction, intensity value at the corresponding position of the blood vessel in the first two-dimensional image and a relationship between intensity values at each position of a blood vessel in a two-dimensional image and optical path length at the corresponding position. This method considers the intensity values of two-dimensional images and can calibrate the three-dimensional model of blood vessels to improve the accuracy of three-dimensional models of blood vessels.

CROSS REFERENCE TO RELATED APPLICATION

The present application is based on and claims the benefits of priorityto U.S. Provisional Application No. 62/592,595, filed Nov. 30, 2017,which is incorporated herein by reference in its entirety.

TECHNICAL FIELD

The present disclosure generally relates to image processing andanalysis. More specifically, the present disclosure relates to acomputer-implemented methods and devices for performingthree-dimensional blood vessel reconstruction using angiographic images.

BACKGROUND

Rotational two-dimensional (2D) X-ray angiographic images providevaluable geometric information on vascular structures for diagnoses ofvarious vascular diseases, such as coronary artery diseases and cerebraldiseases. After a contrast agent (usually an x-ray opaque material, suchas iodine) is injected into the vessel, the image contrast of the vesselregions is generally enhanced. Three-dimensional (3D) vascular treereconstruction using the 2D projection images is often beneficial toreveal the true 3D measurements, including diameters, curvatures andlengths, of various vessel segments of interests, for further functionalassessments of the targeted vascular regions.

Extant 3D reconstruction methods typically rely on 2D vessel structuressegmented from multiple X-ray images from different imaging projectionangles (such as a primary angle and a secondary angle). Usually, 2Dvessel centerlines are first extracted from the segmented vesselregions, and 3D centerlines are then computed by establishing the properprojection imaging system geometry. One technical challenge presented byextant methods is the foreshortening issue. The vessel lengths areslightly different when viewed from different angles due to the natureof the projection imaging, causing foreshortening. Generally,foreshortening may be reduced by avoiding using images containingpronounced foreshortening vessel segments (represented with darkerintensity) for 3D reconstruction. However, at least some level offoreshortening frequently occurs due to the curved geometrical nature ofvessels and due to physiological motion of the patient during theimaging process (e.g., due to respiratory motion and cardiac motion).

Embodiments of the disclosure address the above problems by systems andmethods for improved three-dimensional blood vessel reconstructionsusing angiographic images.

SUMMARY

Embodiments of the present disclosure include computer-implementedmethods and devices for performing three-dimensional blood vesselreconstruction using angiographic images, which can be usedindependently or in combination with traditional three-dimensionalreconstruction methods (e.g., epipolar geometry-based methods). The“method (device) for performing three-dimensional blood vesselreconstruction using angiographic images” as referred to herein meansthat the method (device) can be used with or integrated in athree-dimensional blood vessel reconstruction method (device) usingangiographic images.

In one aspect, the disclosure involves a computer-implemented method forperforming three-dimensional blood vessel reconstruction usingangiographic images. The method includes acquiring a firsttwo-dimensional image in the first projection direction of a bloodvessel and a corresponding reconstructed three-dimensional model of theblood vessel. The method further includes determining, by a processor, asimulated optical path length of the blood vessel at a position in thefirst projection direction based on the three-dimensional model of theblood vessel. The method further includes adjusting, by the processor,reconstruction parameters of the three-dimensional model of the bloodvessel, based on the simulated optical path length of the blood vesselat the position in the first projection direction, intensity value atthe corresponding position of the blood vessel in the firsttwo-dimensional image, and a relationship between intensity value ateach position of a blood vessel in a second-dimensional image andoptical path length at the corresponding position. The adjustedreconstruction parameters may be used for three-dimensional blood vesselreconstruction using angiographic images.

In another aspect, the disclosure also involves a device for performingthree-dimensional blood vessel reconstruction using angiographic images.The device includes a processor, a memory, and computer-executableinstructions stored thereon, and the processor, when performing thecomputer-executable instructions, implements the computer-implementedmethod for performing three-dimensional blood vessel reconstructionusing angiographic images as described above.

In yet another aspect, the disclosure also involves a computer-readablestorage medium having computer-executable instructions stored thereon.The computer-executable instructions, when executed by a processor,implement the computer-implemented method for performingthree-dimensional blood vessel reconstruction using angiographic imagesas described above.

In still yet another aspect, the disclosure also involves a device forperforming three-dimensional blood vessel reconstruction usingangiographic images, the device comprises an interface, which isconfigured to receive angiographic images in multiple projectiondirections of a blood vessel. The received angiographic images include afirst two-dimensional image in a first projection direction. The devicefurther includes a processor, which is configured to reconstruct athree-dimensional model of the blood vessel using reconstructionparameters based on the angiographic images in multiple projectiondirections received from the interface. The processor is furtherconfigured to adjust the reconstruction parameters in the followingsteps. One step is to determine a simulated optical path length withinthe blood vessel at a position in the first projection direction basedon the reconstructed three-dimensional model of the blood vessel.Another step is to adjust the reconstruction parameters of thethree-dimensional model of the blood vessel, based on the simulatedoptical path length within the blood vessel at the position in the firstprojection direction, intensity value at the corresponding position ofthe blood vessel in the first two-dimensional image, and a relationshipbetween intensity value at each position of a blood vessel in asecond-dimensional image and an optical path length at the correspondingposition. The adjusted reconstruction parameters may be used to performthe three-dimensional blood vessel reconstruction using angiographicimages.

Such a method and device may make full use of the intensity (e.g.,grayscale) distribution pattern of the two-dimensional vessel (whenfilled with contrast agent) which is normally neglected andthree-dimensional projection path information implied therein,effectively reducing the foreshortening phenomenon in thethree-dimensional reconstruction, thereby improving the reconstructionaccuracy of three-dimensional vascular tree. The scheme of the presentdisclosure assists the reconstruction of the three-dimensional image byconsidering the image pixel intensity information, and improves thereconstruction accuracy.

It is to be understood that both the foregoing general description andthe following detailed description are exemplary and explanatory onlyand are not restrictive of the invention, as claimed.

BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numeralsmay describe similar components in different views. Like numerals havingdifferent letter suffixes may represent different instances of similarcomponents. The drawings illustrate generally, by way of example, butnot by way of limitation, various embodiments, and together with thedescription and claims, serve to explain the disclosed embodiments. Whenappropriate, the same reference numbers are used throughout the drawingsto refer to the same or like parts. Such embodiments are demonstrativeand not intended to be exhaustive or exClusive embodiments of thepresent method, device, or non-transitory computer readable mediumhaving instructions thereon for implementing the method.

FIG. 1 shows a flowchart of an exemplary process for performingthree-dimensional blood vessel reconstruction using X-ray angiographicimages according to an embodiment of the present disclosure.

FIG. 2 schematically shows an illustration of optical path length withina blood vessel at several positions in a three-dimensional blood vesselmodel according to an embodiment of the present disclosure, and itsrelationship with a grayscale value of corresponding position in atwo-dimensional image.

FIG. 3 illustrates a schematic diagram of a method of measuring anoptical path length according to an embodiment of the presentdisclosure.

FIG. 4 shows a linear relationship between the value at each position ofthe blood vessel and the length of optical path at the correspondingposition.

FIG. 5(a) illustrates a first two-dimensional image I_(T); FIG. 5(b)illustrates the estimated background image I_(B); FIG. 5(c) illustratesthe first processed image ln(I_(T))−ln(I_(B)).

FIG. 6 depicts a flowchart of an exemplary process 500 for performingthree-dimensional blood vessel reconstruction using X-ray angiographicimages according to another embodiment of the present disclosure.

FIG. 7 is a schematic diagram showing a three-dimensional reconstructionadjustment step in the embodiment of FIG. 6.

FIG. 8 depicts a flowchart of an exemplary process 700 for performingthree-dimensional blood vessel reconstruction using X-ray angiographicimages according to yet another embodiment of the present disclosure.

FIG. 9 is a schematic diagram showing a three-dimensional reconstructionadjustment step in the embodiment of FIG. 8.

FIG. 10 illustrates a block diagram of a device 900 for performingthree-dimensional blood vessel reconstruction using X-ray angiographicimages.

FIG. 11 illustrates a block diagram of a medical image processing device1000 for performing three-dimensional blood vessel reconstruction usingX-ray angiographic images.

DETAILED DESCRIPTION

Reference will now be made in detail to the exemplary embodiments,examples of which are illustrated in the accompanying drawings. Whereverpossible, the same reference numbers will be used throughout thedrawings to refer to the same or like parts.

This description may use the phrases “in one embodiment,” “in anotherembodiment,” “in yet another embodiment,” or “in other embodiments,” allreferring to one or more of the same or different embodiments in thepresent disclosure. Moreover, an element which appears in a singularform in the specific embodiments do not exClude that it may appear in aplurality (multiple) form. The technical term “optical path” used hereinrefers to the geometric path of rays propagating within a subject (not avacuum). The technical term “optical path length” refers to the lengthof a geometric path along which the rays propagate in the subject.Consistent with the disclosure, “a length of the optical path in theblood vessel at a position in the first projection direction”, refers tothe length of the optical path along which the rays propagate in thefirst projection direction via this position within the blood vessel.The term “simulated optical path length” is intended to mean the lengthof the optical path obtained by simulation on the basis of a model.

FIG. 1 shows a flowchart of an exemplary process 100 for performingthree-dimensional blood vessel reconstruction using X-ray angiographicimages according to an embodiment of the present disclosure. The process100 begins with an acquiring step 102: acquiring a first two-dimensionalimage in the first projection direction of a blood vessel and acorresponding reconstructed three-dimensional model of the blood vessel.The three-dimensional model of blood vessel can be obtained usingconventional three-dimensional model reconstruction techniques such as,but not limited to, epipolar geometry-based methods, stereotypereconstruction, or the like. For example, reconstruction of athree-dimensional model of a blood vessel may be performed based on atleast two two-dimensional images respectively imaged from at least twodifferent projection directions, so as to acquire the blood vesselthree-dimensional model. The acquiring step 102 may also acquire analready reconstructed three-dimensional model of the blood vessel from astereoscopic imaging device. In some embodiments, different from asimulated two-dimensional projection image obtained by projecting athree-dimensional model in a projection direction, the firsttwo-dimensional image is a real two-dimensional image obtained by X-rayangiography of a blood vessel wherein transmitted X-rays are incident ona flat panel detector (CCD, CMOS, etc.). A pattern of the grayscalevalues in the two-dimensional image implies (encodes) three-dimensionalprojection path information.

In some embodiments, the first two-dimensional image may be atwo-dimensional image based on which the blood vessel three-dimensionalmodel is reconstructed. That is, when the two two-dimensional images asabove are used to reconstruct a three-dimensional model of a bloodvessel, any one of the two two-dimensional images may be used as thefirst two-dimensional image referred to in the present disclosure.

In other embodiments, the first two-dimensional image is atwo-dimensional image captured by the imaging device, which is differentfrom the two-dimensional image based on which the three-dimensionalmodel of the blood vessel is reconstructed. For example, when theimaging device captures three two-dimensional images in the firstprojection direction, the second projection direction, and the thirdprojection direction, respectively, two images respectively obtained intwo directions (e.g., the first projection direction and the secondprojection direction) may be used to reconstruct a three-dimensionalmodel of a blood vessel, and the other image (e.g. the third image)obtained in the other direction (e.g. the third projection direction)serves as the first two-dimensional image mentioned in presentdisclosure. In addition, for example, when the imaging device capturestwo two-dimensional images in the first projection direction andcaptures one two-dimensional image in the second projection direction,one of the two two-dimensional images in the first projection directionand the one two-dimensional image captured in the second projectiondirection may be used to reconstruct the three-dimensional model of theblood vessel, and the other two-dimensional image in the firstprojection direction may be used as the first two-dimensional image, soas to assist the reconstruction of the three-dimensional model of theblood vessel. In addition, for example, when the imaging devicecontinuously captures a two-dimensional image in at least one or moreprojection directions, one image out of the obtained image sequences mayserve as the first two-dimensional image.

In some embodiments, before the acquiring step 102, a three-dimensionalmodel reconstructing step 101 may be optionally included. At the step101, a three-dimensional model of the blood vessel may be reconstructedbased on two or more two-dimensional images from different projectiondirections respectively.

After the acquisition step 102 is completed, a simulated optical pathlength determining step 103 is performed. At step 103, the simulatedoptical path length within the blood vessel at a position (i.e., atleast one position) in the first projection direction may be determinedbased on the three-dimensional model of the blood vessel.

In one embodiment, the size at the position of the blood vessel in thefirst projection direction (a first X-ray transmission direction) in thethree-dimensional model of the blood vessel may be determined as thesimulated optical path length within the blood vessel at thecorresponding position.

For example, as shown in FIG. 2, the sizes x_(C1), x_(C2), . . . , andx_(Cn) at multiple positions of the blood vessel in the first projectiondirection in the three-dimensional model of the blood vessel(three-dimensional geometry) may be measured. Then each of the measuredsizes may be used as the optical path length within the blood vessel atthe corresponding position.

In another embodiment, the simulated optical path length x_(C) may beobtained by radius estimation. As shown in FIG. 3, the direction pointedby the arrow is the first projection direction (beam direction).Firstly, the three-dimensional model of the blood vessel is projected inthe first projection direction to obtain a second two-dimensional image(i.e. a simulated two-dimensional projection image) of the blood vesselthree-dimensional model in the first projection direction. Then,according to the second two-dimensional image, the diameter D of acertain segment of the blood vessel is measured, and the angle θ betweenthe center line of the segment of the blood vessel and the firstprojection direction is determined. Then, by using the followingequation (1), the simulated optical path length x_(C) of the segment ofthe blood vessel is calculated.

x _(C) =D/sin θ  Equation (1)

Then it proceeds to a three-dimensional reconstruction adjustment step104. At the step 104, reconstruction parameters of the three-dimensionalmodel of the blood vessel may be adjusted based on the simulated opticalpath length (x_(C1), x_(C2), . . . , and x_(Cn)) within the blood vesselat the position(s) in the first projection direction, intensity value atthe corresponding position(s) of the blood vessel in the firsttwo-dimensional image, and a relationship between intensity value ateach position of a blood vessel in a second-dimensional image and anoptical path length at the corresponding position. The adjustedreconstruction parameters may be utilized for three-dimension vesselreconstruction, so that a foreshortening of three-dimension vesselreconstruction may be rectified.

As shown in FIG. 2, when X-rays travel longer (i.e., the optical path islonger), there is more X-ray attenuation, and the intensity value of thetransmitted beam is smaller, and accordingly, the grayscale value of thepixel is also smaller. Thus, embodiments of the present disclosure usegrayscale values of the pixel to derive the optical path in the contrastagent (i.e., the optical path in the blood vessel) to infer the localvessel geometry.

It is observed that there is an inherent relationship between theintensity value at each position of the blood vessel in thetwo-dimensional image and the optical path length at the correspondingposition, under the same contrast agent injection condition for the samepatient. When optical path length at each position of a blood vessel ina two-dimensional image are denoted by x_(C), exp[x_(C)] has an inherentrelationship with the intensity value, such as gray values g_(C), at thecorresponding position of the blood vessel in a two-dimensional image,such as an approximately linear relationship. The value obtained byremoving background from the intensity value (such as the gray-scalevalue g_(C)) and logarithmically processing the intensity value at eachposition of the blood vessel, has a linear relationship with the opticalpath length x_(C) at the corresponding position, as shown in FIG. 4.

The above-mentioned inherent relationship (for example, a linearrelationship) can be explained through the following approximatederivation.

Specifically, the relationship between x-ray attenuation and opticalpath in the contrast agent may be defined by following Equation. (2).

$\begin{matrix}{\frac{I_{T}}{I_{I}} = {\exp \left\lbrack {{{- \left( {\mu_{C}/\rho_{C}} \right)}x_{C}} - {\left( {\mu_{0}/\rho_{0}} \right)x_{0}}} \right\rbrack}} & {{Equation}\mspace{14mu} (2)}\end{matrix}$

where I_(I) is the incident beam intensity, I_(T) is the transmittedbeam intensity, □μ/ρ is the mass attenuation coefficient and x is theoptical path. In addition, the subscripts c and o represent contrastagent and organ (i.e. vessel), respectively. In the absence of contrastagent, the x-ray beam absorption, due to the organ alone, is describedby Equation (3).

$\begin{matrix}{\frac{I_{B}}{I_{I}} = {\exp \left\lbrack {{- \left( {\mu_{0}/\rho_{0}} \right)}x_{0}} \right\rbrack}} & {{Equation}\mspace{14mu} (3)}\end{matrix}$

where I_(B) is the transmitted beam intensity with only background.

By substituting Equation (3) into Equation (2), the relationship betweenthe intensity of the light transmitted through the blood vessel at eachposition and the optical path length x_(C) at the correspondingpositions can be obtained, see Equation (4).

$\begin{matrix}{\frac{I_{T}}{I_{B}} = {\exp \left\lbrack {{- \left( {\mu_{C}/\rho_{C}} \right)}x_{C}} \right\rbrack}} & {{Equation}\mspace{14mu} (4)}\end{matrix}$

The light transmitted the blood vessel at each position thereof may beincident onto a flat panel detector, so as to obtain a gray-scaletwo-dimensional image. Thereby, the intensity of the light transmittedthrough the blood vessel at each position is converted to intensityvalue (for example, gray value) at the corresponding position of theblood vessel in the two-dimensional image. It is verified that theconversion to gray-scale does not destroy the described inherentrelationship, so that the inherent relationship between the intensity ofthe light transmitted through the blood vessel at each position and theoptical path length x_(C) at the corresponding position is maintainedbetween the intensity value at each position of the blood vessel in thetwo-dimensional image and the optical path length x_(C) at thecorresponding position. Therefore, the reconstruction of thethree-dimensional model can be guided by using the intensity values atthe position(s) of the blood vessel in the two-dimensional images.Compared with the existing three-dimensional reconstruction technologythat ignores the intensity value of two-dimensional images, the presentdisclosure considers the above relationship so that the reconstructionaccuracy of the three-dimensional model can be improved. Hereinafter, inorder to facilitate description, the transition between the intensity ofthe light transmitted through the blood vessel at the position(s) of andthe intensity value at corresponding position(s) of the correspondingblood vessel in the two-dimensional image is ignored, and I_(T) is usedto denote the intensity value at position(s) of the blood vessel in thetwo-dimensional image, and I_(B) is used to denote the backgroundintensity at the corresponding position(s) of the blood vessel in thetwo-dimensional image.

In some embodiments, the reconstruction of the three-dimensional imagemay be assisted using the linear relationship between the processedintensity value at each position in the two-dimensional image and theoptical path length x_(C) at the corresponding position. By applying thelogarithm to both sides of formula (4), the following Equation (5) canbe obtained.

$\begin{matrix}{x_{C} = {- {\frac{\rho_{C}}{\mu_{C}}\left\lbrack {{\ln \left( I_{T} \right)} - {\ln \left( I_{B} \right)}} \right\rbrack}}} & {{Equation}\mspace{14mu} (5)}\end{matrix}$

It can be seen that the optical path length x_(C) through the contrastagent is proportional to the processed image (i.e., that obtained byremoving background from and logarithmically processing the image). Thatis, the value resulted by removing background and logarithmicallyprocessing the intensity value at each position of the blood vessel hasa linear relationship with the optical path length x_(C) at thecorresponding position, as shown in FIG. 4.

In some embodiments, the value resulted by removing background from andlogarithmically processing the intensity value at each position of theblood vessel in a two-dimensional image, i.e., ln(I_(T))−ln(I_(B)), maybe obtained by the following steps: calculating the logarithm of theintensity value at each position of the blood vessel to obtain a firstprocessed value ln(I_(T)); calculating the logarithm of backgroundintensity value at each position of the blood vessel to obtain a secondprocessed value ln(I_(B)); and subtracting the second processed valuefrom the first processing value, so as to obtain the value resulted byremoving background from and logarithmically processing the intensityvalue, ln(I_(T))−ln(I_(B)).

FIGS. 5(a) to 5 (c) illustrate the image processing on how to obtain thevalue resulted by removing background from and logarithmicallyprocessing an intensity value at each position of a blood vessel in atwo-dimensional image. FIG. 5(a) illustrates a first two-dimensionalimage I_(T) (i.e. a measured X-ray angiographic image). FIG. 5(b)illustrates for example a background image I_(B) estimated for the firsttwo-dimensional image I_(T) by utilizing image inpainting technology.And FIG. 5(c) illustrates the first processed image resulted by removingbackground and logarithmically processing, ln(I_(T))−ln(I_(B)). Themethods of U.S. Provisional Application No. 62/591,437 (filed Nov. 28,2017), which is incorporated herein by reference, may be used to processthe images as above. In some embodiments, for example, background may beestimated by methods such as image inpainting. The log signal of thebackground-removed image has a linear correlation with optical paths.

In some embodiments, the relationship between the intensity value ateach position of the blood vessel in a two-dimensional image and theoptical path length at the corresponding position may be established inadvance, in previous angiography and three-dimensional reconstruction ofthe same patient under the same contrast injection conditions, or therelationship is established in advance for part of the blood vessel inthe same angiography and three-dimensional reconstruction. In someembodiments, in the same angiography and three-dimensionalreconstruction, the foreshortening phenomenon may be avoided ordecreased for the part of blood vessel, which is easy to achieve. Andthus an accurate optical path length may be obtained by a reconstructedthree-dimensional model based on the part of blood vessel, so that anaccurate relationship between the intensity value at each position ofthe blood vessel in the two-dimensional image and the optical pathlengths at the corresponding position may be established in advance.After the relationship is established in advance, the relationship canbe recalled directly in a subsequent application scenario that satisfiesthe same contrast agent injection conditions.

When a three-dimensional model is reconstructed for a specific patient,difference in physiological characteristics (such as blood viscosity,respiratory motion, cardiac motion, etc.) and/or contrast agentparameters (such as injection time and injection volume) betweenprevious and later angiographies may be small for him/her. Therefore,the relationship established in advance in the previous angiography andthree-dimensional reconstruction or the relationship established inadvance for the part of the blood vessel in the same angiography andthree-dimensional reconstruction can be continuously adapted to the samepatient. Compared to adopting the relationship obtained by means of thereconstruction of the three-dimensional model for other patients, itfacilitates improving the accuracy of the reconstructedthree-dimensional model of the blood vessel for the specific patient.

In the following embodiment, as shown in FIG. 6, a flowchart of anexemplary process 500 for performing three-dimensional construction of ablood vessel using X-ray angiographic images according to anotherembodiment of the present disclosure is described. The exemplary process500 includes the following steps. It begins with an acquisition step502, wherein a reconstructed three-dimensional model of the blood vesseland a first two-dimensional image in the first projection directioncorresponding thereto are acquired. Then, the process proceeds to asimulated light path length determining step 503. At step 503, thesimulated optical path length within the blood vessel at position(s) inthe first projection direction is determined based on thethree-dimensional model of the blood vessel. After that, athree-dimensional reconstruction adjustment step is performed. Withreference to both FIG. 6 and FIG. 7, the three-dimensionalreconstruction adjustment step may include the following steps5041˜5043.

At step 5041, a first processed image resulted by removing backgroundfrom and logarithmically processing the first two-dimensional image maybe calculated. For example, in some embodiments, the step of calculatingthe first processed image may include (not illustrated in the drawings):calculating the logarithm of an intensity value of each pixel of thefirst two-dimensional image to obtain a third logarithmically processedimage; then, inpainting intensity values of the blood vessel portion inthe first two-dimensional image based on intensity values of thebackground pixels of the periphery of the blood vessel portion;calculating the logarithm of an intensity value of each pixel of theimprinted first two-dimensional image, so as to obtain a fourthlogarithmically processed image; and then subtracting the fourthlogarithmically processed image from the third logarithmically processedimage, so as to obtain the first processed image, which is exemplifiedby FIG. 5(c).

At step 5042, the optical path length within the blood vessel at theposition(s) may be estimated using the aforesaid linear relationship,which may be established in advance, based on the first processed image.

At step 5043, the optical path length within the blood vessel at theposition(s) may be compared with the determined simulated optical pathlength within the vessel blood at the corresponding position(s), and thesize of the blood vessel at the corresponding position(s) in the firstprojection direction in the three-dimensional model thereof may beelongated based on the comparison.

In one embodiment, the step 5043 may include: determining differencebetween the optical path length within the blood vessel at theposition(s) and the simulated optical path length at the correspondingposition(s) of the blood vessel; providing a warning if the differenceis greater than a first predetermined threshold, otherwise, elongatingthe size of the blood vessel at the corresponding position(s) in theX-ray transmitting direction in the three-dimensional model of the bloodvessel based on the difference, so as to eliminate the difference.

The first predetermined threshold may be a value preset empirically by aperson skilled in the art, and this value is used to reflect theallowable degree of deviation of the reconstructed three-dimensionalmodel. If the difference is greater than the first predeterminedthreshold, it means the deviation of the reconstructed three-dimensionalmodel is relatively great, so a warning may be provided to draw theattention of a user (such as a surgeon or the like). Besides, if thedifference is less than or equal to the first predetermined threshold,the size of the blood vessel at the corresponding position in the X-raytransmission direction in the three-dimensional model may directlymodified (e.g. elongated) to eliminate the difference, therebygenerating a calibrated blood vessel three-dimensional model.

In the following embodiment, as shown in FIG. 8, a flowchart of anexemplary process 700 for performing three-dimensional blood vesselreconstruction using X-ray angiography images according to yet anotherembodiment of the present disclosure is described. The exemplary process700 includes the following steps.

It begins with an acquisition step 702. At step 702, a reconstructedthree-dimensional model of a blood vessel and a first two-dimensionalimage in the first projection direction corresponding thereto may beacquired.

Then, a simulated light path length determining step 703 is performed.At step 703, simulated optical path length within the blood vessel atposition(s) in the first projection direction may be determined based onthe three-dimensional model of the blood vessel.

After that, a three-dimensional reconstruction adjustment step isperformed. With reference to FIG. 8 and FIG. 9, the three-dimensionalreconstruction adjustment step includes the following steps 7041˜7043.At step 7041, a first processed image resulted by removing backgroundfrom and logarithmically processing the first two-dimensional image maybe calculated. The process of calculating the first processed image maybe performed as in the exemplary process 500.

At step 7042, the second processed image resulted by removing thebackground from and logarithmically processing a second two-dimensionalimage may be estimated using the linear relationship based on thedetermined simulated optical path length, wherein the secondtwo-dimensional image is obtained by projecting the three-dimensionalmodel of the blood vessel in the first projection direction. That is,according to the simulated optical path length and the linearrelationship, processed (including background removing andlogarithmically processing) intensity values may be obtained forcorresponding position of the blood vessel (more specifically, eachpixel point of the blood vessel region).

At step 7043, the first processed image may be compared with the secondprocessed image, and the reconstruction parameters of thethree-dimensional model of the blood vessel may be adjusted based on thecomparison. The adjusted reconstruction parameters may be used toperform three-dimensional blood vessel reconstruction using the X-rayangiographic images.

Specifically, the pixel value (i.e., the processed intensity value) ateach pixel position of the first processed image may be compared withthe processed intensity value at the corresponding pixel position of thesecond processed image, and the reconstruction parameters of thethree-dimensional model of the blood vessel may be adjusted based on thecomparison. And three-dimensional vessel model reconstruction may beperformed using the adjusted reconstruction parameters.

In some embodiments, the cost function is set as the difference obtainedby the above comparison, and the reconstruction parameters of thethree-dimensional model of the blood vessel may be adjusted byminimizing the cost function.

In other embodiments, with the cost function defined as the abovedifference, steps of the three-dimensional vessel reconstruction andreconstruction parameters may be performed iteratively, the costfunction may be calculated and fed into an optimizer to update thereconstruction parameters and the corresponding three-dimensional bloodvessel tree geometry (i.e., generating a calibrated three-dimensionalmodel of a blood vessel). For example, the reconstruction parameters canbe gradually updated using a Newton iteration method or the like untiloptimized reconstruction parameters are obtained. The optimizedreconstruction parameters may be used to reconstruct an accuratethree-dimensional model of the blood vessel.

In still other embodiments, step 7043 may include: determining adifference between the first processed image and the second processedimage; providing a warning if the difference is greater than a secondpredetermined threshold, otherwise, adjusting the reconstructionparameters of the three-dimensional model of the blood vessel based onthe comparison, so as to eliminate the difference.

The second predetermined threshold may be a value preset empirically bya person skilled in the art, which reflects the allowable degree ofdeviation of the reconstructed three-dimensional model. If thedifference is greater than the second predetermined threshold, thedeviation of the reconstructed three-dimensional model is considered asrelatively great, so a warning is provided to draw the attention of theuser (such as a surgeon or the like), and if the difference is less thanor equal to the second predetermined threshold, the reconstructionparameters of the three-dimensional model of the blood vessel may bedirectly adjusted, thus adjusting the corresponding three-dimensionalgeometry of the vessel tree.

FIG. 10 illustrates a block diagram of a device 900 for performingthree-dimensional blood vessel reconstruction using X-ray angiographicimages. The device 900 comprises: an acquisition unit 902, which isconfigured to acquire a first two-dimensional image in the firstprojection direction and a corresponding reconstructed three-dimensionalmodel of the blood vessel; a simulated light path length determiningunit 903, which is configured to determine simulated optical path lengthwithin the blood vessel at position(s) of the blood vessel in the firstprojection direction based on the three-dimensional model of the bloodvessel; and a three-dimensional reconstruction adjustment unit 904,which is configured to adjust reconstruction parameters of thethree-dimensional model of the blood vessel, based on the simulatedoptical path length within the blood vessel at the position(s) in thefirst projection direction, intensity values at the correspondingposition(s) of the blood vessel on the first two-dimensional image, anda relationship between intensity value at each position of a bloodvessel in a second-dimensional image and the optical path length at thecorresponding position. The adjusted reconstruction parameters of thethree-dimensional model of the blood vessel may be adopted to performthree-dimensional blood vessel reconstruction with X-ray angiographicimages.

In some embodiments, the acquisition unit 902 may acquire a vascularmedical image from the medical image database 935. The acquired vascularmedical image may include a three-dimensional model of the blood vesseland/or a first two-dimensional image in the first projection directioncorresponding to the three-dimensional model of the blood vessel. Insome other embodiments, the acquiring unit 902 can directly acquire thethree-dimensional model of a blood vessel and/or a first two-dimensionalimage corresponding to the three-dimensional model of the blood vesselin the first projection direction from an external device such as amedical image acquisition device (not shown). In still otherembodiments, the acquisition unit 902 may acquire the above model and/orimage from an image data storage device (not shown). In a modifiedembodiment, the acquisition unit 902 can acquire the required models andimages from at least two of the above sources.

In one embodiment, device 900 may further include a three-dimensionalmodel reconstruction unit 901. The three-dimensional modelreconstruction unit 901 is configured to generate a reconstructed bloodvessel three-dimensional model based on two or more two-dimensionalimages (the first two-dimensional image in the first projectiondirection may be included) respectively from different projectiondirections. The three-dimensional model reconstruction unit 901 may beconnected to any one of the medical image database 935, the imageacquisition device, and the image data storage device, so as to acquirethe two-dimensional image(s) based on which the reconstruction isperformed. The acquisition unit 902 may acquire the reconstructedthree-dimensional model of a blood vessel from the three-dimensionalmodel reconstructing unit 901. In one embodiment, the acquisition unit902 may also acquire, from the three-dimensional model reconstructingunit 901, at least one image of the two-dimensional images, based onwhich the blood vessel three-dimensional model is reconstructed, and thedevice 900 may use the at least one image as the first two-dimensionalimage.

The acquisition unit 902 transmits the acquired three-dimensional modelof the blood vessel and the corresponding first two-dimensional image inthe first projection direction to the simulated optical path lengthdetermining unit 903. The simulated optical path length determinationunit 903 transmits the determined simulation optical path length to thethree-dimensional reconstruction adjustment unit 904, so that it mayadjust reconstruction parameters of the three-dimensional model of theblood vessel, based on the simulated optical path length within theblood vessel at position(s) thereof in the first projection direction,intensity value at the corresponding position(s) of the blood vessel onthe first two-dimensional image, and a relationship between intensityvalue at each position of a blood vessel in a second-dimensional imageand optical path length at the corresponding positions. Thus theadjusted reconstruction parameters may be adopted to reconstruct thethree-dimensional blood vessel model using X-ray angiographic images. Insome embodiments, the three-dimensional reconstruction adjustment unit904 may output a calibrated three-dimensional model of a blood vessel.

For the specific implementation steps and methods of each unit of thedevice 900, reference may be made to corresponding steps and methodsdetailed in the foregoing method embodiments, and the description ofwhich are omitted.

FIG. 11 illustrates a block diagram of a medical image processing device1000 for performing three-dimensional blood vessel reconstruction usingX-ray angiographic images. The medical image processing device 1000 mayinclude a network interface 1001 by which the device 1000 may beconnected to a network (not shown) such as, but not limited to, a localarea network in a hospital or the Internet. The network may connect thedevice 1000 with an external device such as an image acquisition device(not shown), a medical image database 2000, and an image data storagedevice 3000.

It is contemplated that the devices and methods disclosed in theembodiments may be implemented using a computer device. In someembodiments, the medical image processing device 1000 may be a dedicatedsmart device or a general-purpose smart device. For example, the medicalimage processing device 1000 may be a computer customized for image dataacquisition and image data processing tasks, or a server placed in thecloud. For example, the device 1000 may be integrated into an imageacquisition device. Optionally, the device may include or cooperate witha three-dimensional model reconstruction unit for generating areconstructed three-dimensional model based on the two-dimensionalimages acquired by the image acquisition device.

The medical image processing device 1000 may include an image processor1002 and a memory 1003, and may additionally include at least one of aninput/output 1004 and an image display 1005.

The image processor 1002 may be a processing device including one ormore general-purpose processing devices such as a microprocessor, acentral processing unit (CPU), a graphics processing unit (GPU), and thelike. More specifically, the image processor 1002 may be a complexinstruction set computing (CISC) microprocessor, a reduced instructionset computing (RISC) microprocessor, a very long instruction word (VLIW)microprocessor, a processor running other instruction sets, or aprocessor that runs a combination of instruction sets. The imageprocessor 1002 may also be one or more dedicated processing devices suchas application specific integrated circuits (ASICs), field programmablegate arrays (FPGAs), digital signal processors (DSPs), system-on-chip(SoCs), and the like. As would be appreciated by those skilled in theart, in some embodiments, the image processor 1002 may be aspecial-purpose processor, rather than a general-purpose processor. Theimage processor 1002 may include one or more known processing devices,such as a microprocessor from the Pentium™, Core™, Xeon™, or Itanium®family manufactured by Intel™, the Turion™, Athlon™, Sempron™, Opteron™,FX™, Phenom™ family manufactured by AMD™, or any of various processorsmanufactured by Sun Microsystems. The image processor 1002 may alsoinclude graphical processing units such as a GPU from the GeForce®,Quadro®, Tesla® family manufactured by Nvidia™, GMA, Iris™ familymanufactured by Intel™, or the Radeon™ family manufactured by AMD™. Theimage processor 1002 may also include accelerated processing units suchas the Desktop A-4 (6, 8) Series manufactured by AMD™, the Xeon Phi™family manufactured by Intel™.

The disclosed embodiments are not limited to any type of processor(s) orprocessor circuits otherwise configured to meet the computing demands ofidentifying, analyzing, maintaining, generating, and/or providing largeamounts of imaging data or manipulating such imaging data to calibrate athree-dimensional vessel model or to manipulate any other type of dataconsistent with the disclosed embodiments. In addition, the term“processor” or “image processor” may include more than one processor,for example, a multi-core design or a plurality of processors eachhaving a multi-core design. The image processor 1002 can executesequences of computer program instructions, stored in memory 1003, toperform various operations, processes, methods disclosed herein.

The image processor 1002 may be communicatively coupled to the memory1003 and configured to execute computer-executable instructions storedtherein. The memory 1003 may include a read only memory (ROM), a flashmemory, random access memory (RAM), a dynamic random-access memory(DRAM) such as synchronous DRAM (SDRAM) or Rambus DRAM, a static memory(e.g., flash memory, static random-access memory), etc., on whichcomputer executable instructions are stored in any format. In someembodiments, the memory 1003 may store computer-executable instructionsof one or more image processing program(s) 923 and the data generatedwhen the image processing program(s) are performed. The computer programinstructions can be accessed by the image processor 1002, read from theROM, or any other suitable memory location, and loaded in the RAM forexecution by the image processor 1002, so as to implement each step ofabove methods. The image processor 1002 may also send/receive medicalimage data to/from storage 1003. For example, memory 1003 may store oneor more software applications. Software applications stored in thememory 1003 may include, for example, an operating system (not shown)for common computer systems as well as for soft-controlled devices.Further, memory 1003 may store an entire software application or only apart of a software application (e.g. the image processing program (s)923) to be executable by the image processor 1002. In some embodiments,the image processing program 923 may include the simulated optical pathlength determining unit 903 and the three-dimensional reconstructionadjustment unit 904 shown in FIG. 10 as software units, for implementingeach step of the method or process of three-dimensional reconstructionusing X-ray angiographic images consistent with the present disclosure.In some embodiments, the image processing program 923 may also includethe three-dimensional model reconstructing unit 901 shown in FIG. 10 asa software unit. In addition, the memory 1003 may store datagenerated/cached when the computer program is executed, such as medicalimage data 1006, which includes medical images transmitted from an imageacquisition device, the medical image database 2000, the image datastorage device 3000, and the like. Such medical image data 1006 mayinclude a received three-dimensional vessel model to be calibrated andthe two-dimensional angiographic images corresponding thereto. Inaddition, the medical image data 1006 may also include any one of acalibrated three-dimensional vessel model, the difference on the opticalpath length, and the adjusted reconstruction parameters.

The image processor 1002 may execute an image processing program 923 toimplement a method for three-dimensional vessel reconstruction usingX-ray angiographic images. In some embodiments, when the imageprocessing program 923 is executed, the image processor 1002 mayassociate the acquired reconstructed blood vessel three-dimensionalmodel with the adjusted reconstruction parameters and the generatedcalibrated blood vessel three-dimensional model and store them in memory1003. Alternatively, the image processor 1002 may associate the acquiredreconstructed blood vessel three-dimensional model with the adjustedreconstruction parameters and the generated calibrated blood vesselthree-dimensional model and send them to the medical image database 2000via the network interface 1001.

It is contemplated that the device may include one or more processorsand one or more memory devices. The processor(s) and storage device(s)may be configured in a centralized or distributed manner.

The device 1000 may include one or more digital and/or analogcommunication device (input/output 1004). For example, the input/output1004 may include a keyboard and a mouse that allow the user to providean input.

Device 1000 may be connected to the network through network interface1001. The network interface 1001 may include a network adapter, a cableconnector, a serial connector, a USB connector, a parallel connector, ahigh-speed data transmission adapter such as optical fiber, USB 3.0,lightning, a wireless network adapter such as a WiFi adapter, atelecommunication (3G, 4G/LTE, etc.) adapters. The network may providethe functionality of local area network (LAN), a wireless network, acloud computing environment (e.g., software as a service, platform as aservice, infrastructure as a service, etc.), a client-server, a widearea network (WAN), and the like.

The device 1000 may further include an image display 1005. In someembodiments, the image display 1005 may be any display device suitablefor displaying a vascular angiographic image(s) and thethree-dimensional reconstruction results. For example, the image display1005 may be an LCD, CRT, or LED display.

Various operations or functions are described herein that may beimplemented as software code or instructions or as software code orinstructions. Such content may be directly executable source code ordifference code (“incremental” or “block” code) (“object” or“executable” form). The software codes or instructions may be stored ina computer-readable storage medium and, when executed, may cause themachine to perform the described functions or operations and include anymechanism for storing information in a form accessible by the machine(e.g., computing devices, electronic systems, etc.), such as recordableor non-recordable media (e.g., read-only memory (ROM), random accessmemory (RAM), disk storage media, optical storage media, flash memorydevices, etc.).

Although described using X-ray images, imaging modalities in thedisclosed systems and methods may be alternatively or additionallyapplied to other imaging modalities where the pixel intensity varieswith the distance traveled by imaging particles, such as CT, cone beamcomputed tomography (CBCT), Spiral CT, positron emission tomography(PET), single-photon emission computed tomography (SPECT), etc.

Following long-standing patent law convention, the terms “a”, “an”, and“the” refer to “one or more (at least one)” when used in thisapplication, including the claims. Thus, for example, reference to “aunit” includes a plurality of such units, and so forth.

The term “comprising”, which is synonymous with “including” “containing”or “characterized by” is inclusive or open-ended and does not exCludeadditional, unrecited elements or method steps. “Comprising” is a termof art used in claim language which means that the named elements areessential, but other elements can be added and still form a constructwithin the scope of the claim.

As used herein, the term “and/or” when used in the context of a listingof entities, refers to the entities being present singly or incombination. Thus, for example, the phrase “A, B, C, and/or D” includesA, B, C, and D individually, but also includes any and all combinationsand combinations of A, B, C, and D.

Another aspect of the disclosure is directed to a non-transitorycomputer-readable medium storing instructions which, when executed,cause one or more processors to perform the methods, as discussed above.The computer-readable medium may include volatile or non-volatile,magnetic, semiconductor, tape, optical, removable, non-removable, orother types of computer-readable medium or computer-readable storagedevices. For example, the computer-readable medium may be the storagedevice or the memory module having the computer instructions storedthereon, as disclosed. In some embodiments, the computer-readable mediummay be a disc or a flash drive having the computer instructions storedthereon.

It will be apparent to those skilled in the art that variousmodifications and variations can be made to the disclosed system andrelated methods. Other embodiments will be apparent to those skilled inthe art from consideration of the specification and practice of thedisclosed system and related methods.

It is intended that the specification and examples be considered asexemplary only, with a true scope being indicated by the followingclaims and their equivalents.

What is claimed is:
 1. A computer-implemented method for performingthree-dimensional blood vessel reconstruction using angiographic imagesof a patient, wherein the computer-implemented method comprises:acquiring a first two-dimensional image of a blood vessel in a firstprojection direction and a three-dimensional model of the blood vessel;determining, by a processor, a simulated optical path length within theblood vessel at a position thereof in the first projection directionbased on the three-dimensional model of the blood vessel; and adjusting,by the processor, reconstruction parameters of the three-dimensionalmodel of the blood vessel, based on the simulated optical path lengthwithin the blood vessel at the position in the first projectiondirection, intensity value at the corresponding position of the bloodvessel in the first two-dimensional image, and a relationship betweenthe intensity value and an optical path length at the correspondingposition.
 2. The computer-implemented method according to claim 1,wherein the relationship is a linear relationship between a valueresulted by removing background from and logarithmically processing theintensity value at each position of the blood vessel in thetwo-dimensional image and the optical path length at the correspondingposition.
 3. The computer-implemented method according to claim 1,wherein determining the simulated light path length comprises:determining a size of the blood vessel at the position in the firstprojection direction in the three-dimensional model of the blood vessel,as the simulated optical path length within the blood vessel at theposition.
 4. The computer-implemented method according to claim 1,wherein the relationship is established in advance usingthree-dimensional reconstruction of previous angiographic images of thesame patient, or the relationship is established in advance usingthree-dimensional reconstruction of a subset of the angiographic images.5. The computer-implemented method of claim 2, wherein adjusting thereconstruction parameters of the three-dimensional model comprises:calculating a first processed image by removing background from andperforming logarithmic processing on the first two-dimensional image;estimating, by the processor, the optical path length within the bloodvessel at the position using the linear relationship based on the firstprocessed image; comparing, by the processor, the optical path lengthwithin the blood vessel at the position with the determined simulatedoptical path length within the blood vessel at the correspondingposition; and elongating the size of the blood vessel at thecorresponding position in the first projection direction in thethree-dimensional model thereof based on the comparison.
 6. Thecomputer-implemented method of claim 2, wherein adjusting thereconstruction parameters of the three-dimensional model comprises:calculating a first processed image by removing background from andperforming logarithmic processing on the first two-dimensional image;estimating, by the processor, a second processed image for a secondtwo-dimensional image using the linear relationship based on thedetermined simulated optical path length, wherein the secondtwo-dimensional image is obtained by projecting the three-dimensionalmodel of the blood vessel in the first projection direction, and thesecond processed image is that obtained by removing background from andperforming logarithmic processing on the second two-dimensional image;comparing, by the processor, the first processed image with the secondprocessed image; and adjusting the reconstruction parameters of thethree-dimensional model of the blood vessel based on the comparison. 7.The computer-implemented method of claim 3, wherein determining thesimulated optical path length comprises: obtaining a secondtwo-dimensional image by projecting the three-dimensional model of theblood vessel in the first projection direction; determining a diameterof a segment of the blood vessel based on the second two-dimensionalimage; determining an angle between the center line of the segment ofthe blood vessel and the first projection direction; and calculating thesimulated light path length within the segment of the blood vessel basedon the diameter and the angle.
 8. The computer-implemented methodaccording to claim 2, wherein the value resulted by removing backgroundfrom and logarithmically processing the intensity value at each positionof the blood vessel in the two-dimensional image is obtained by thefollowing steps: calculating the logarithm of the intensity value ateach position of the blood vessel to obtain a first processed value;calculating the logarithm of background intensity value at each positionof the blood vessel to obtain a second processed value; and subtractingthe second processed value from the first processing value.
 9. Thecomputer-implemented method according to claim 5, wherein the step ofcalculating the first processed image comprises: calculating thelogarithm of an intensity value of each pixel of the firsttwo-dimensional image to obtain a third logarithmically processed image;inpainting intensity values of the blood vessel portion in the firsttwo-dimensional image based on intensity values of the background pixelsof its periphery; calculating the logarithm of an intensity value ofeach pixel of the imprinted first two-dimensional image to obtain afourth logarithmically processed image; and subtracting the fourthlogarithmically processed image from the third logarithmically processedimage.
 10. The computer-implemented method of claim 5, wherein the stepof comparing the optical path length within the blood vessel at theposition with the determined simulated optical path length within theblood vessel at the corresponding position includes: determining thedifference between the optical path length within the blood vessel atthe position and the simulated optical path length within the bloodvessel at the corresponding position; and providing a warning if thedifference is greater than a first predetermined threshold.
 11. Thecomputer-implemented method of claim 6, wherein the step of comparingthe first processed image with the second processed image includes:determining a difference between the first processed image and thesecond processed image; and providing a warning if the difference isgreater than a second predetermined threshold.
 12. Thecomputer-implemented method of claim 1, the method further comprising:reconstructing the three-dimensional model of the blood vessel based ontwo-dimensional images from multiple projection directions.
 13. A devicefor performing three-dimensional blood vessel reconstruction usingangiographic images of a patient, comprising: an interface configured toreceive angiographic images in multiple projection directions of a bloodvessel, including a first two-dimensional image in a first projectiondirection; a processor, configured to: reconstruct a three-dimensionalmodel of the blood vessel using reconstruction parameters based on theangiographic images in multiple projection directions received from theinterface; determine a simulated optical path length within the bloodvessel at a position in the first projection direction based on thereconstructed three-dimensional model of the blood vessel; and adjustthe reconstruction parameters of the three-dimensional model of theblood vessel, based on the simulated optical path length within theblood vessel at the position in the first projection direction,intensity value at the corresponding position of the blood vessel in thefirst two-dimensional image, and a relationship between the intensityvalue and an optical path length at the corresponding position.
 14. Thedevice of claim 13, wherein to determine the simulated light pathlength, the processor is further configured to determine a size of theblood vessel at the position in the first projection direction in thethree-dimensional model of the blood vessel, as the simulated opticalpath length within the blood vessel at the position.
 15. The device ofclaim 13, wherein to adjust the reconstruction parameters of thethree-dimensional model, the processor is further configured to:calculate a first processed image by removing background from andperforming logarithmic processing on the first two-dimensional image;estimate an optical path length within the blood vessel at the positionusing the linear relationship based on the first processed image;comparing the optical path length within the blood vessel at theposition with the determined simulated optical path length within theblood vessel at the corresponding position; and elongate the size of theblood vessel at the corresponding position in the first projectiondirection in the three-dimensional model thereof based on thecomparison.
 16. The device of claim 13, wherein to adjust thereconstruction parameters of the three-dimensional model, the processoris further configured to: calculate a first processed image by removingbackground from and performing logarithmic processing on the firsttwo-dimensional image; estimate a second processed image for a secondtwo-dimensional image using the linear relationship based on thedetermined simulated optical path length, wherein the secondtwo-dimensional image is obtained by projecting the three-dimensionalmodel of the blood vessel in the first projection direction, and thesecond processed image is that obtained by removing background from andperforming logarithmic processing on the second two-dimensional image;compare the first processed image with the second processed image; andadjust the reconstruction parameters of the three-dimensional model ofthe blood vessel based on the comparison.
 17. The device of claim 13,wherein the processor is further configured to: reconstruct thethree-dimensional model of the blood vessel based on two-dimensionalimages from multiple projection directions.
 18. A non-transitorycomputer-readable medium having a computer program stored thereon,wherein the computer program, when executed by at least one processor,performs a method for performing three-dimensional blood vesselreconstruction using angiographic images of a patient, wherein themethod comprises: acquiring a first two-dimensional image of a bloodvessel in a first projection direction and a three-dimensional model ofthe blood vessel; determining a simulated optical path length within theblood vessel at a position thereof in the first projection directionbased on the three-dimensional model of the blood vessel; and adjustingreconstruction parameters of the three-dimensional model of the bloodvessel, based on the simulated optical path length within the bloodvessel at the position in the first projection direction, intensityvalue at the corresponding position of the blood vessel in the firsttwo-dimensional image, and a relationship between the intensity valueand an optical path length at the corresponding position.
 19. Thenon-transitory computer-readable medium of claim 18, wherein adjustingthe reconstruction parameters of the three-dimensional model furthercomprises: calculating a first processed image by removing backgroundfrom and performing logarithmic processing on the first two-dimensionalimage; estimating an optical path length within the blood vessel at theposition using the linear relationship based on the first processedimage; comparing the optical path length within the blood vessel at theposition with the determined simulated optical path length within theblood vessel at the corresponding position; and elongating the size ofthe blood vessel at the corresponding position in the first projectiondirection in the three-dimensional model thereof based on thecomparison.
 20. The non-transitory computer-readable medium of claim 18,wherein adjusting the reconstruction parameters of the three-dimensionalmodel further comprises: calculating a first processed image by removingbackground from and performing logarithmic processing on the firsttwo-dimensional image; estimating a second processed image for a secondtwo-dimensional image using the linear relationship based on thedetermined simulated optical path length, wherein the secondtwo-dimensional image is obtained by projecting the three-dimensionalmodel of the blood vessel in the first projection direction, and thesecond processed image is that obtained by removing background from andperforming logarithmic processing on the second two-dimensional image;comparing the first processed image with the second processed image; andadjusting the reconstruction parameters of the three-dimensional modelof the blood vessel based on the comparison.